Modeling Collaborative Behaviors in Energy Ecosystems

Detalhes bibliográficos
Autor(a) principal: Adu-Kankam, Kankam Okatakyie
Data de Publicação: 2023
Outros Autores: Camarinha-Matos, Luís Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/151542
Resumo: © 2023 by the authors. Licensee MDPI, Basel, Switzerland
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spelling Modeling Collaborative Behaviors in Energy EcosystemsSDG 7 - Affordable and Clean Energy© 2023 by the authors. Licensee MDPI, Basel, SwitzerlandThe notions of a collaborative virtual power plant ecosystem (CVPP-E) and a cognitive household digital twin (CHDT) have been proposed as contributions to the efficient organization and management of households within renewable energy communities (RECs). CHDTs can be modeled as software agents that are designed to possess some cognitive capabilities, enabling them to make autonomous decisions on behalf of their human owners based on the value system of their physical twin. Due to their cognitive and decision-making capabilities, these agents can exhibit some behavioral attributes, such as engaging in diverse collaborative actions aimed at achieving some common goals. These behavioral attributes can be directed to the promotion of sustainable energy consumption in the ecosystem. Along this line, this work demonstrates various collaborative practices that include: (1) collaborative roles played by the CVPP manager such as (a) opportunity seeking and goal formulation, (b) goal proposition/invitation to form a coalition or virtual organization, and (c) formation and dissolution of coalitions; and (2) collaborative roles played by CHDTs which include (a) acceptance or decline of an invitation based on (i) delegation/non-delegation and (ii) value system compatibility/non-compatibility, and (b) the sharing of common resources. This study adopts a simulation technique that involves the integration of multiple simulation methods such as system dynamics, agent-based, and discrete event simulation techniques in a single simulation environment. The outcome of this study confirms the potential of adding cognitive capabilities to CHDTs and further shows that these agents could exhibit certain collaborative attributes, enabling them to become suitable as rational decision-making agents in households.DEE - Departamento de Engenharia Electrotécnica e de ComputadoresUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasDEE2010-C2 Robótica e Manufactura Integrada por ComputadorRUNAdu-Kankam, Kankam OkatakyieCamarinha-Matos, Luís Manuel2023-04-03T22:14:49Z2023-02-132023-02-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article38application/pdfhttp://hdl.handle.net/10362/151542eng2073-431XPURE: 57157390https://doi.org/10.3390/computers12020039info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-17T01:31:50ZPortal AgregadorONG
dc.title.none.fl_str_mv Modeling Collaborative Behaviors in Energy Ecosystems
title Modeling Collaborative Behaviors in Energy Ecosystems
spellingShingle Modeling Collaborative Behaviors in Energy Ecosystems
Adu-Kankam, Kankam Okatakyie
SDG 7 - Affordable and Clean Energy
title_short Modeling Collaborative Behaviors in Energy Ecosystems
title_full Modeling Collaborative Behaviors in Energy Ecosystems
title_fullStr Modeling Collaborative Behaviors in Energy Ecosystems
title_full_unstemmed Modeling Collaborative Behaviors in Energy Ecosystems
title_sort Modeling Collaborative Behaviors in Energy Ecosystems
author Adu-Kankam, Kankam Okatakyie
author_facet Adu-Kankam, Kankam Okatakyie
Camarinha-Matos, Luís Manuel
author_role author
author2 Camarinha-Matos, Luís Manuel
author2_role author
dc.contributor.none.fl_str_mv DEE - Departamento de Engenharia Electrotécnica e de Computadores
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
DEE2010-C2 Robótica e Manufactura Integrada por Computador
RUN
dc.contributor.author.fl_str_mv Adu-Kankam, Kankam Okatakyie
Camarinha-Matos, Luís Manuel
dc.subject.por.fl_str_mv SDG 7 - Affordable and Clean Energy
topic SDG 7 - Affordable and Clean Energy
description © 2023 by the authors. Licensee MDPI, Basel, Switzerland
publishDate 2023
dc.date.none.fl_str_mv 2023-04-03T22:14:49Z
2023-02-13
2023-02-13T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/151542
url http://hdl.handle.net/10362/151542
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2073-431X
PURE: 57157390
https://doi.org/10.3390/computers12020039
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 38
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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